Course Overview

Designed specifically for graduates from non-computing or non-STEM backgrounds, this programme enables you to build confidence and capability from the ground up, preparing you for entry-level and early-career roles in data-driven fields.
You will follow a structured and supportive learning journey, starting with the fundamentals of programming, mathematics, and statistics, before progressing to more advanced topics. As your knowledge develops, you will explore how data informs decision making, and learn to apply analytical techniques to solve real-world problems across a range of sectors.
Throughout the course, you will:

  • Build core skills in programming, data handling, and development practices
  • Develop an understanding of mathematics and statistics for data analysis
  • Explore machine learning techniques and their application to different data problems
  • Learn to analyse, interpret, and visualise real-world data
  • Strengthen problem-solving, communication, and teamwork skills

You will learn through an applied, practice-focused approach, using guided labs, workshops, and problem-based tasks that reflect professional environments. The curriculum is carefully designed to support your progression step by step, ensuring you gain both technical knowledge and the confidence to apply it effectively.

The programme culminates in an applied postgraduate project, where you will investigate a contemporary data science challenge and use real datasets to develop solutions. This experience will allow you to integrate your learning, demonstrate your skills, and build a portfolio relevant to employers.

Did you know?
By the end of your degree, you will be equipped with the technical expertise and transferable skills needed to move into data science and related digital roles. Whether you are changing career or reskilling, you will graduate ready to apply data-driven thinking 

View the modules for this course on the partner’s website
MSc Data Science Applications course page www.roehampton.ac.uk

Details
Course
MSc Data Science Applications
Study Level
Postgraduate
Routes
  • 1 year direct degree study

    + 1 year additional study for optional placement
Additional Study Method
with placement year
Study type
Degree
Study mode
Full Time
Tuition fee
Start Dates
  • September
Campus
University of Roehampton London, London
Entry Requirements
Choose your country of education

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